[PeftModel] is the base model class for specifying the base Transformer model and configuration to apply a PEFT method to. The base PeftModel contains methods for loading and saving models from the Hub.
[[autodoc]] PeftModel - all
A PeftModel for sequence classification tasks.
[[autodoc]] PeftModelForSequenceClassification - all
A PeftModel for token classification tasks.
[[autodoc]] PeftModelForTokenClassification - all
A PeftModel for causal language modeling.
[[autodoc]] PeftModelForCausalLM - all
A PeftModel for sequence-to-sequence language modeling.
[[autodoc]] PeftModelForSeq2SeqLM - all
A PeftModel for question answering.
[[autodoc]] PeftModelForQuestionAnswering - all
A PeftModel for getting extracting features/embeddings from transformer models.
[[autodoc]] PeftModelForFeatureExtraction - all
A PeftModel for mixing different adapter types (e.g. LoRA and LoHa).
[[autodoc]] PeftMixedModel - all
[[autodoc]] utils.cast_mixed_precision_params
[[autodoc]] get_peft_model
[[autodoc]] inject_adapter_in_model
[[autodoc]] utils.get_peft_model_state_dict
[[autodoc]] utils.prepare_model_for_kbit_training
[[autodoc]] get_layer_status
[[autodoc]] get_model_status